AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents

The AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents course, curated by Ligency, represents a highly comprehensive blueprint for developers aiming to transition into the rapidly evolving field of Generative AI engineering. This structured, project-driven program guides learners through the transition from standard software engineering to crafting production-grade artificial intelligence systems. Over an intensive path, students tackle eight real-world practical applications, establishing a robust portfolio that demonstrates capability in advanced AI concepts. The curriculum bridges theoretical foundations with cutting-edge methodologies. It covers everything from intelligent web scraping and multi-modal customer support agents with advanced function-calling to high-performance tasks like optimizing code speed and building retrieval-augmented generation (RAG) knowledge-bases. Furthermore, learners master fine-tuning open-source models using techniques like LoRA and QLoRA to challenge multi-billion-parameter frontier models in specialized tasks. By diving into autonomous multi-agent environments, this curriculum equips participants to architect complex workflows where independent AI agents collaborate to solve intricate problems. This track is ideal for software engineers, data scientists, and tech professionals aiming to build viable, high-performance LLM products and stay at the forefront of the Generative AI revolution.